Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
How to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM
20191.9k citationsMarko Sarstedt, Joseph F. Hair et al.Australasian Marketing Journal (AMJ)profile →
Hierarchical Latent Variable Models in PLS-SEM: Guidelines for Using Reflective-Formative Type Models
20121.6k citationsJan-Michael Becker, Kristina Klein et al.Long Range Planningprofile →
PLS-SEM’s most wanted guidance
2022616 citationsJan-Michael Becker, Jun‐Hwa Cheah et al.International Journal of Contemporary Hospitality Managementprofile →
How collinearity affects mixture regression results
2014370 citationsJan-Michael Becker, Christian M. Ringle et al.Marketing Lettersprofile →
Discovering Unobserved Heterogeneity in Structural Equation Models to Avert Validity Threats1
2013332 citationsJan-Michael Becker, Arun Rai et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Jan-Michael Becker
Since
Specialization
Citations
This map shows the geographic impact of Jan-Michael Becker's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jan-Michael Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan-Michael Becker more than expected).
Fields of papers citing papers by Jan-Michael Becker
This network shows the impact of papers produced by Jan-Michael Becker. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jan-Michael Becker. The network helps show where Jan-Michael Becker may publish in the future.
Co-authorship network of co-authors of Jan-Michael Becker
This figure shows the co-authorship network connecting the top 25 collaborators of Jan-Michael Becker.
A scholar is included among the top collaborators of Jan-Michael Becker based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Jan-Michael Becker. Jan-Michael Becker is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lins, Sebastian, Jan-Michael Becker, Kalle Lyytinen, & Ali Sunyaev. (2023). A Design Theory for Certification Presentations. ACM SIGMIS Database the DATABASE for Advances in Information Systems. 54(3). 75–118.4 indexed citations
5.
Becker, Jan-Michael, et al.. (2022). PLS-SEM’s most wanted guidance. International Journal of Contemporary Hospitality Management. 35(1). 321–346.616 indexed citations breakdown →
Sarstedt, Marko, Joseph F. Hair, Jun‐Hwa Cheah, Jan-Michael Becker, & Christian M. Ringle. (2019). How to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM. Australasian Marketing Journal (AMJ). 27(3). 197–211.1933 indexed citations breakdown →
11.
Becker, Jan-Michael, Christian M. Ringle, & Marko Sarstedt. (2018). Estimating Moderating Effects in PLS-SEM and PLSc-SEM: Interaction Term Generation*Data Treatment. SSRN Electronic Journal.22 indexed citations
Becker, Jan-Michael, Christian M. Ringle, Marko Sarstedt, & Franziska Völckner. (2015). How collinearity affects mixture regression results. Kölner Universitäts PublikationsServer (Universität zu Köln).
Becker, Jan-Michael, Christian M. Ringle, Marko Sarstedt, & Franziska Völckner. (2014). How collinearity affects mixture regression results. Marketing Letters. 26(4). 643–659.370 indexed citations breakdown →
18.
Becker, Jan-Michael, Arun Rai, Christian M. Ringle, & Franziska Völckner. (2013). Discovering Unobserved Heterogeneity in Structural Equation Models to Avert Validity Threats. Kölner Universitäts PublikationsServer (Universität zu Köln).2 indexed citations
19.
Becker, Jan-Michael, Arun Rai, & Edward E. Rigdon. (2013). PREDICTIVE VALIDITY AND FORMATIVE MEASUREMENT IN STRUCTURAL EQUATION MODELING : EMBRACING PRACTICAL RELEVANCE. ScholarWorks - Georgia State University (Georgia State University).133 indexed citations
20.
Becker, Jan-Michael, Kristina Klein, & Martin Wetzels. (2012). Hierarchical Latent Variable Models in PLS-SEM: Guidelines for Using Reflective-Formative Type Models. Long Range Planning. 45(5-6). 359–394.1594 indexed citations breakdown →
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.